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    Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods

    Source: Journal of Engineering Mechanics:;2015:;Volume ( 141 ):;issue: 003
    Author:
    Xiaoxu
    ,
    Huang
    ,
    Jianqiao
    ,
    Chen
    DOI: 10.1061/(ASCE)EM.1943-7889.0000845
    Publisher: American Society of Civil Engineers
    Abstract: Performance and reliability of structures will deteriorate with time as a result of the effects of various loads and the environment. This paper aims to develop a time-dependent reliability model of deteriorating structures that considers both aging effects and random shocks. First, a deteriorating model is proposed in which the aging effect is modeled as a gamma process while random shock is described by a Poisson process. The time-dependent reliability of the structural components is then evaluated based on the model. To incorporate the effects of model uncertainties, Bayesian inference methods are further integrated with the reliability model to update the uncertain parameters in the model using sampling data. Numerical examples demonstrate that the proposed model provides a reasonable method for evaluating the reliability of deteriorating structures containing model uncertainties.
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      Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods

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    https://yetl.yabesh.ir/yetl1/handle/yetl/71557
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    contributor authorXiaoxu
    contributor authorHuang
    contributor authorJianqiao
    contributor authorChen
    date accessioned2017-05-08T22:06:41Z
    date available2017-05-08T22:06:41Z
    date copyrightMarch 2015
    date issued2015
    identifier other28695942.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71557
    description abstractPerformance and reliability of structures will deteriorate with time as a result of the effects of various loads and the environment. This paper aims to develop a time-dependent reliability model of deteriorating structures that considers both aging effects and random shocks. First, a deteriorating model is proposed in which the aging effect is modeled as a gamma process while random shock is described by a Poisson process. The time-dependent reliability of the structural components is then evaluated based on the model. To incorporate the effects of model uncertainties, Bayesian inference methods are further integrated with the reliability model to update the uncertain parameters in the model using sampling data. Numerical examples demonstrate that the proposed model provides a reasonable method for evaluating the reliability of deteriorating structures containing model uncertainties.
    publisherAmerican Society of Civil Engineers
    titleTime-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods
    typeJournal Paper
    journal volume141
    journal issue3
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)EM.1943-7889.0000845
    treeJournal of Engineering Mechanics:;2015:;Volume ( 141 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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